How to Use the Kargo MCP in Vercel AI SDK

Kargo connects your AI-SDK frontends to real-time warehouse data. Build live shipping dashboards without the wait.

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…and any MCP-compatible client

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Connect Kargo MCP to Vercel AI SDK

Create your Vinkius account to connect Kargo to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kargo with Vercel AI SDK

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Real-time logistics streaming in AI-SDK

Feed live shipment status directly into your UI components using `list_shipments`. Your users watch data populate the screen the second it hits the Kargo endpoint. Stop relying on stale polling scripts. The AI-SDK handles the stream while this MCP Server keeps the records accurate.

Automated order tracking for your interface

Trigger `get_order` and `get_shipment` inside your generation loops to pull details on demand. You get structured data ready for your React or Next.js components. Your AI agent fetches exactly what the user needs. No more manual lookups or flipping between warehouse tabs.

Sync warehouse updates from your browser

Use `update_logistics` to push state changes back to Kargo from your application logic. The connection is direct and handles complex payloads without overhead. Keep your facility data current. When a carrier status shifts, your application reflects that change immediately.

Setup guide

Set up Kargo MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Kargo tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Kargo transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kargo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kargo MCP in Vercel AI SDK

Use your endpoint token to authenticate the connection. The server enforces your permissions before any tool executes.

Yes. The AI-SDK reads the tool output as a stream. You see results in your UI as they arrive.

It manages sync loads effectively. Keep your polling rates reasonable to stay within API limits.

The server acts as a pass-through. No sensitive warehouse data stays in your client's memory after the session ends.

The MCP Server handles the disconnect gracefully. Your UI catches the error and signals the user to retry.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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